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Which factors determine whether a stimulus is consciously perceived or unconsciously processed? Here, I investigate how previous experience on two different time scales – long term experience over the course of several days, and short term experience based on the previous trial – impact conscious perception. Regarding long term experience, I investigate how perceptual learning does not only change the capacity to process stimuli, but also the capacity to consciously perceive them. To this end, subjects are trained extensively to discriminate between masked stimuli, and concurrently rate their subjective experience. Both the ability to discriminate the stimuli as well as subjective awareness of the stimuli increase as a function of training. However, these two effects are not simple byproducts of each other. On the contrary, they display different time courses, with above chance discrimination performance emerging before subjective experience; importantly, the two learning effects also rely on different circuits in the brain: Moving the stimuli outside the trained receptive field size abolishes the learning effects on discrimination ability, but preserves the learning effects on subjective awareness.
This indicates that the receptive fields serving subjective experience are larger than the ones serving objective performance, and that the channels through which they receive their information are arranged in parallel. Regarding short term experience, I investigate how memory based predictions arising from information acquired on the trial before affect visibility and the neural correlates of consciousness. To this end, I vary stimulus evidence as well as predictability and acquire electroencephalographic data.
A comparison of the neural processes distinguishing consciously perceived from unperceived trials with and without predictions reveals that predictions speed up processing, thus shifting the neural correlates forward in time. Thus, the neural correlates of consciousness display a previously unappreciated flexibility in time and do not arise invariably late as had been predicted by some theorists.
Admittedly, however, previous experience does not always stabilize perception. Instead, previous experience can have the reverse effect: Seeing the opposite of what was there, as in so-called repulsive aftereffects. Here, I investigate what determines the direction of previous experience using multistable stimuli. In a functional magnetic resonance imaging experiment, I find that a widespread network of frontal, parietal, and ventral occipital brain areas is involved in perceptual stabilization, whereas the reverse effect is only evident in extrastriate cortex. This areal separation possibly endows the brain with the flexibility to switch between exploiting already available information and emphasizing the new.
Taken together, my data show that conscious perception and its neuronal correlates display a remarkable degree of flexibility and plasticity, which should be taken into account in future theories of consciousness.
The role of gamma oscillatory activity in magnetoencephalogram for auditory memory processing
(2010)
Recent studies have suggested an important role of cortical gamma oscillatory activity (30-100 Hz) as a correlate of encoding, maintaining and retrieving auditory, visual or tactile information in and from memory. It was shown that these cortical stimulus representations were modulated by attention processes. Gamma-band activity (GBA) occurred as an induced response peaking at approximately 200-300 ms after stimulus presentation. Induced cortical responses appear as non-phase-locked activity and are assumed to reflect active cortical processing rather than passive perception. Induced GBA peaking 200-300 ms after stimulus presentation has been assumed to reflect differences between experimental conditions containing various stimuli. By contrast, the relationship between specific oscillatory signals and the representation of individual stimuli has remained unclear. The present study aimed at the identification of such stimulus-specific gamma-band components. We used magnetoencephalography (MEG) to assess gamma activity during an auditory spatial delayed matching-to-sample task. 28 healthy adults were assigned to one of two groups R and L who were presented with only right- or left-lateralized sounds, respectively. Two sample stimuli S1 with lateralization angles of either 15° or 45° deviation from the midsagittal plane were used in each group. Participants had to memorize the lateralization angle of S1 and compare it to a second lateralized sound S2 presented after an 800-ms delay phase. S2 either had the same or a different lateralization angle as S1. After the presentation of S2, subjects had to indicate whether S1 and S2 matched or not. Statistical probability mapping was applied to the signals at sensor level to identify spectral amplitude differences between 15° and 45° stimuli. We found distinct gamma-band components reflecting each sample stimulus with center frequencies ranging between 59 and 72 Hz in different sensors over parieto-occipital cortex contralateral to the side of stimulation. These oscillations showed maximal spectral amplitudes during the middle 200-300 ms of the delay phase and decreased again towards its end. Additionally, we investigated correlations between the activation strength of the gamma-band components and memory task performance. The magnitude of differentiation between oscillatory components representing 'preferred' and 'nonpreferred' stimuli during the final 100 ms of the delay phase correlated positively with task performance. These findings suggest that the observed gamma-band components reflect the activity of neuronal networks tuned to specific auditory spatial stimulus features. The activation of these networks seems to contribute to the maintenance of task-relevant information in short-term memory.
The pathophysiology of schizophrenia is still poorly understood. Investigating the neurophysiological correlates of cognitive dysfunction with functional neuroimaging techniques such as electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) is widely considered to be a possible solution for this problem. Working memory impairment is one of the most prominent cognitive impairments found in schizophrenia. Working memory can be divided into a number of component processes, encoding, maintenance and retrieval. They appear to be differentially affected in schizophrenia, but little is known about the neurophysiological disturbances which contribute to deficits in these component processes. The aim of this dissertation was to elucidate the neurophysiological underpinnings of the component processes of working memory and their disturbance in schizophrenia. In the first study the the neurophysiological substrates of visual working memory capacity limitations were investigated during encoding, maintenance and retrieval in 12 healthy subjects using event-related fMRI. Subjects had to encode up to four abstract visual shapes and maintain them in working memory for 12 seconds. Afterwards a test stimulus was presented, which matched one of the previously shown shapes in fifty percent of the trials. A bilateral inverted U-shape pattern of BOLD activity with increasing memory load in areas closely linked with selective attention, i.e. the frontal eye fields and areas around the intraparietal sulcus, was observed already during encoding. The increase of the number of stored items from memory load three to memory load four in these regions was negatively correlated with the increase of BOLD activity from memory load three to memory load four. These results point to a crucial role of attentional processes for the limited capacity of working memory. In the second study, the contribution of early perceptual processing deficits during encoding and retrieval to working memory dysfunction was investigated in 17 patients with schizophrenia and 17 healthy control subjects using EEG and event-related fMRI. A slightly modified version of the working memory task used in the fist study was employed. Participants only had to encode and maintain up to three items. In patients the amplitude of the P1 event-related potential was significantly reduced already during encoding in all memory load conditions. Similarly, BOLD activity in early visual areas known to generate the P1 was significantly reduced in patients. In controls, a stronger P1 amplitude increase with increasing memory load predicted better performance. These findings indicate that in addition to later memory related processing stages early visual processing is disturbed in schizophrenia and contributes to working memory dysfunction by impairing the encoding of information. In the third study, which was based on the same data set as the second study, cortical activity and functional connectivity in 17 patients with schizophrenia and 17 to healthy control subjects during the working memory encoding, maintenance and retrieval was investigated using event-related fMRI. Patients had reduced working memory capacity. During encoding activation in the left ventrolateral prefrontal cortex and extrastriate visual cortex was reduced in patients but positively correlated with working memory capacity in controls. During early maintenance patients switched from hyper- to hypoactivation with increasing memory load in a fronto-parietal network which included left dorsolateral prefrontal cortex. During retrieval right ventrolateral prefrontal hyperactivation was correlated with encoding-related hypoactivation of left ventrolateral prefrontal cortex in patients. Cortical dysfunction in patients during encoding and retrieval was accompanied by abnormal functional connectivity between fronto-parietal and visual areas. These findings indicate a primary encoding deficit in patients caused by a dysfunction of prefrontal and visual areas. The findings of these studies suggest that isolating the component processes of working memory leads to more specific markers of cortical dysfunction in schizophrenia, which had been obscured in previous studies. This approach may help to identify more reliable biomarkers and endophenotypes of schizophrenia.
How much we trust our own decisions, knowledge or perceptions influences our behavior in many everyday situations. Normally the confidence we have in our decisions is rather accurate, but under certain circumstances the subjective evaluation of a decision and its objective quality can differ heavily. Subjectively over- or underestimating the quality of decisions can lead to disadvantageous behavior. Little is known about how this feeling of confidence about a decision is generated. Is it computed automatically with the decision or does it arise in a different process?
This thesis is based on a publication that contributed to the investigation of this question by comparing the influence of two different forms of spatial attention on decision confidence. Visual spatial attention is a cognitive mechanism that serves to select parts of the visual field, leading to more accurate decisions about the attended items. It can be either voluntarily controlled (endogenous) or reflexively driven by external events (exogenous). In an orientation-matching task participants performed better in both attentional conditions than in a control condition without directed attention. Additionally, we found that only endogenous, but not exogenous attention led the subjects to overestimate the quality of their performance. The possible implications of this “relative overconfidence” were discussed with respect to the theoretical framework of spatial attention and decision confidence. The present findings support the idea that decision confidence is generated in a distinct metacognitive process. Possible ideas for further neurophysiological research are proposed. The thesis concludes with an attempt to integrate the discussion into a broader context of medical research on certain neuropsychiatric symptoms and conditions.
Reliable and efficient recording of the error-related negativity with a speeded Eriksen Flanker task
(2020)
There is accumulating evidence that the error-related negativity (ERN), an event-related potential elicited after erroneous actions, is altered in different psychiatric disorders and may help to guide treatment options. Thus, the ERN is a promising candidate as a psychiatric biomarker. Basic methodological requirements for a biomarker are standardized and reliable measurements. Additional psychiatry specific requirements are time efficiency and patient-friendliness.
The aim of the present study is to establish ERN acquisition in a reliable, time-efficient and patient-friendly way for use in clinical practice.
Healthy subjects (N=27) performed a modified Eriksen Flanker Task with adaptive reaction time window and only incongruent stimuli that maximizes the number of errors. All participants were tested for mental health by the Mini International Neuropsychiatric Interview (M.I.N.I.). The first N=12 subjects were part of a pilot study and further N=14 subjects were included for analysis (one subject was excluded due to technical problems). In a test-retest design with two sessions separated by 28 days the reliability of the ERN has been assessed. To ensure external validity, we aimed to replicate previously reported correlation patterns of ERN amplitude with (1) number of errors and (2) negative affect. State affect of each subject was measured by the Positive and Negative Affect Schedule. In order to optimize the clinical use of the task, we determined to which extent the task can be shortened while keeping reliability >0.80.
We found excellent reliability of the ERN (intraclass correlation coefficient =0.806-0.947) and replicated specific correlation patterns (ERN amplitude with relative number of errors: r=0.394; p=0.082; ERN amplitude with negative affect: r=-0.583, p=0.014). The task can be shortened to a patient-friendly and clinically feasible length of only 8 minutes keeping reliability >0.80.
To conclude, the present modified task provides reliable and efficient recording of the ERN, facilitating its use as a psychiatric biomarker.
Working memory (WM) contributes to countless activities during everyday live: reading, holding a conversation, making tea and so on. The core processes of WM comprise the phases of encoding, maintenance and retrieval. Successful recognition of stored objects requires several subprocesses such as stimulus encoding and evaluation, memory search and the organisation of a decision and a response. Much research has focused on encoding and maintenance of information but little interest has been directed to the retrieval of information. This is why the present dissertation investigated the neuronal correlates of retrieval of previously stored information and its modulation by load and probe-item similarity.
Here memory load and probe-item similarity were manipulated in order to investigate the neuronal correlates of the recognition process using electroencephalography (EEG). We tested the hypothesis recognition is influenced differently by probe-item similarity and by memory load and that these factors are re Effected by distinct neuronal correlates. Furthermore we tested whether distinct neuronal responses could be related to a summed similarity model.
The analysis of high-density ERP recordings showed both a load effect (load 1>load 3) and a similarity effect In addition, there was an interaction between load and similarity. The load effect was present during the whole epoch and did not change over time, whereas the similarity effect showed two distinct components between 300-600ms. In contrast to the load effect the similarity effect changed its sign over time. For the rest component, match probes elicited the strongest ERP responses, whereas for the second component dissimilar probes yielded the strongest ERP responses. The timing of the similarity effect corresponded well with the early and late P3b complex. The P3b complex is associated with stimulus categorisation and evaluation (early subcomponent) and memory search and criterion testing (late subcomponent).
The results suggest that the difficulty of a task is not only determined by load but also enhanced by probe-item similarity. Since increasing the number of samples (i.e. memory load) can also increase the probe-item similarity (i.e. the probability that one of the samples is perceptually similar to the probe), an independent manipulation of both factors is indispensable to disentangle their particular impact on short-term recognition. Furthermore, I propose that the two distinct neural correlates of the P3b complex reeffects different stages of task processing connected with probe-item similarity. As suggested by summed similarity VI models, these components might reflect the subprocesses of similarity summation (early P3b) and criterion testing (late P3b).
In 1911 Eugen Bleuler (Bleuler, 1911) postulated that schizophrenia was a disorder resulting from inability to properly integrate mental processes. Around the same time, Carl Wernicke (Wernicke, 1894) proposed that psychosis might result from disruption of white matter tracts. Both of these statements can be considered early cornerstones of modern connectivity hypotheses developed towards the end of the twentieth century by such researchers as Karl Friston (1998) and Nancy Andreansen (1998). In the current work, the hypothesis that schizophrenia, rather than being a disorder or either anatomical or functional connectivity, is a disorder where both of these processes interact and influence the clinical presentation of patients, is examined. This is achieved through a detailed examination of a sample of chronic schizophrenia patients using a combination of functional and anatomical Magnetic Resonance Imaging techniques. The relationship of these measures to clinical symptoms is also explored. In the first study, anatomical connectivity at the whole-brain level is examined using Diffusion Tensor Imaging. The results of the study contribute to the previous literature on auditory hallucinations in schizophrenia and provide the first direct correlation between increased anatomical connectivity and increased severity of psychotic symptoms. The second study provides a thorough examination of the interhemispheric connectivity. This is achieved through a detailed examination of the corpus callosum using a combination of diffusivity and volumetric values. This is the first study to date where several anatomical methods are used in one sample. The results illustrate the importance of using different techniques to accurately characterize anatomical abnormalities observed in schizophrenia. In addition, contrary to previous research reports, the results of the current study imply that only specific sub-sections of the corpus callosum are affected by anatomical abnormalities. The pattern of these changes may influence clinical presentation of patients. Finally, functional connectivity at the whole-brain level is examined during resting-state using Independent Component Analysis. Similarly to the results of the anatomical examinations, it provides further supporting evidence that the pattern of disturbances observed in the current sample of schizophrenia patients examined herein reflects a combination of hypo- and hyperconnectivity. Moreover, the study further validates resting-state functional Magnetic Resonance Imaging as a reliable tool for examining functional abnormalities in schizophrenia.
Cognitive flexibility and cognitive stability : neural and behavioral correlates in men and mice
(2014)
The ability to flexibly adjust behavior according to a changing environment is crucial to ensure a species' survival. However, the successful pursuit of goals also requires the stable maintenance of behavior in the face of potential distractors. Thus, cognitive flexibility and cognitive stability are important processes for the cognitive control of behavior. There is a large body of behavioral and neuroimaging research concerning cognitive control in general, but also specifically on cognitive flexibility and cognitive stability, albeit most often assessed in separate task paradigms. Nevertheless, whether cognitive flexibility and cognitive stability depend upon separate or shared neuronal bases is still a matter of debate. Complementing empirical research, computational models have become an important strategy in neuroscientific research, as they have the potential of providing mechanistic explanations of empirical observations, for example by allowing for the direct manipulation of molecular parameters in simulated neural networks. The computational model underlying the so-called Dual-State Theory contains specific hypotheses with respect to cognitive flexibility and cognitive stability. The neural networks simulated by this model exhibit multiple stable firing states, i.e., the neural network can maintain a high firing state also without continuing external input due to a network architecture consisting of recurrently connected neurons. Transitions between such network states, also called attractor states, can be induced by external input, and represent working memory contents or active task rules. Simulations showed that the stability of these attractor states, and thus of task rule representations, depend on the dopamine state of the system and can consequently vary between persons. The Dual-State Theory predicts an antagonistic relationship between cognitive flexibility and cognitive stability, as robust attractor states would facilitate the inhibition of distractors, but impair efficient task switching, while rather unstable attractor states would promote efficient transitions between representations but would also come at the cost of increased distractibility.
Based on the Dual-State Theory, a task paradigm was designed allowing for the simultaneous assessment of cognitive flexibility, in the sense of rule-based task switching, and cognitive stability, in the sense of inhibiting irrelevant distractors. Furthermore, a behavioral measure was developed to assess the individual attractor state stability, named spontaneous switching rate (SSR). In the first study of this work, this paradigm was tested in a sample of healthy human subjects using functional magnetic resonance imaging (fMRI). An overlapping fronto-parietal network was activated for both cognitive flexibility and cognitive stability. Furthermore, behavioral as well as neuroimaging results are in favor of an antagonistic relationship between cognitive flexibility and cognitive stability. A specific prefrontal region, the inferior frontal junction (IFJ), was implied to potentially contain the relevant neural networks mediating the transitions between attractor states, i.e., task rule representations, as its activity was modulated by the SSR such that persons with rather unstable attractor states activated it less during task switching while showing better performance. Most importantly, functional connectivity of the IFJ was antagonistically modulated by the SSR: more flexible persons connected it less to another prefrontal area during task switching, while showing higher functional connectivity during distractor inhibition.
In a second study, a larger human sample was assessed and further hypotheses derived from the Dual-State Theory on variability of neural processing were tested: we hypothesized that persons with high brain signal variability should have less stable network states and thus benefit on tasks requiring cognitive flexibility but suffer from it when the task requires a higher degree of cognitive stability. Furthermore, recent fMRI-research on brain signal variability revealed beneficial effects of higher brain signal variability on cognitive performance in general. Using a novel customized analysis pipeline to measure trial-to-trial fMRI-signal variability, we indeed found differential effects of brain signal variability: higher levels of brain signal variability were found to be beneficial for effectiveness, i.e., performance in terms of error rates, for both cognitive flexibility and stability. However, brain signal variability impaired the efficiency in terms of response times of inhibiting distractors, i.e., cognitive stability.
Due to further predictions of the Dual-State Theory concerning schizophrenia and the dopaminergic system, it was considered valuable to pursue a translational approach and thus allowing for the employment of animal models of psychiatric diseases. Consequently, in a first step the human paradigm was translated for a murine population using an innovative touchscreen approach. Results showed analogous behavioral effects in wildtype mice as before in healthy humans: the antagonistic relation between cognitive flexibility and cognitive stability was replicated and also for mice, a behavioral measure for the individual attractor stability was established and validated, named the individual spontaneous switching score.
To conclude, we established a novel paradigm assessing both cognitive flexibility and stability simultaneously showing an antagonistic relationship between these two cognitive functions on the behavioral level in two different species, which supports predictions from the Dual-State Theory. This was further underlined by evidence on the activation, functional connectivity and signal variability level in the human brain.